期刊名称：International Journal on Computer Science and Engineering
印刷版ISSN：2229-5631
电子版ISSN：0975-3397
出版年度：2010
卷号：2
期号：7
页码：2322-2327
出版社：Engg Journals Publications
摘要：The computational grid is a collection and aggregation of parallel, distributed, and heterogeneous resources. Grid Scheduling is the complex issue to manage the heterogeneous resources. The proposed approach considers the evolutionary algorithm of Differential Evolution (DE) technique in a modified manner to solve the multi-objective parameters of makespan and flowtime. The proposed grid scheduling approach completes the jobs within minimal time and also it increases the utilization of resources. The proposed DE based grid scheduling algorithm with modified has been tested under the batch mode and the performance of the proposed MDE based algorithm has been compared with Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Simulated Annealing (SA), and the results outperform the compared one.
